13 July 2025
Topic: Developer And Technical
Study shows AI coding assistants actually slow down experienced developers
Cutting corners: In a surprising turn for the fast-evolving world of artificial intelligence, a new study has found that AI-powered coding assistants ...
TL;DR
A new study found that AI-powered coding assistants may actually hinder productivity among seasoned software developers, rather than accelerating it, taking 19% longer to finish tasks.
Key Takeaways:
Key Takeaways:
- Experienced developers were 24% more optimistic than data showed about AI-assisted productivity.
- Most experienced developers spent significant time reviewing and correcting AI code, with an acceptance rate of less than 44%.
- AI tools struggled to grasp implicit context within large repositories, leading to misunderstandings and irrelevant suggestions.
Stop vetting engineers like it’s 2021 — the AI-native workforce has arrived
Jobs will fade and rise due to AI. But those who learn to screen, train and build dev teams around AI-enabled talent will write the future....
TL;DR
Hiring developers in the era of AI acceleration requires prioritizing AI fluency, critical thinking, and communication skills over traditional coding abilities.
Key Takeaways:
Key Takeaways:
- Developers who know how to orchestrate AI tools and leverage their output hold a significant competitive advantage over those who don't.
- Assessing AI competency in candidates involves simulating real-world problem-solving, evaluating prompting skills, verifying authenticity, and testing judgment.
- Companies should provide training for both junior and senior developers to unlock productivity gains from AI without compromising quality.
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